Data Structures and Algorithms – C++

This repository contains C++ projects focused on implementing and analyzing fundamental data structures and algorithms.

The work emphasizes problem-solving, runtime efficiency, and clean code organization using core computer science principles.

Project Overview

The projects in this repository explore common data structures through practical programming assignments. Emphasis was placed on correctness, performance, and maintainability.

Included Projects

• Runtime and memory analysis of data structures, including vectors, hash tables, and binary search trees
• A C++ course planner application that loads, sorts, and displays data using a Binary Search Tree (BST)

Key Concepts and Skills

• C++ programming fundamentals
• Data structures:
  • Vectors
  • Hash tables
  • Binary search trees (BST)
• Algorithm analysis and runtime complexity (Big-O)
• Searching and sorting techniques
• File input/output and data parsing

Approach

Each project focused on:

• Choosing appropriate data structures for the problem
• Evaluating time and space complexity
• Writing readable and maintainable C++ code
• Testing functionality and performance

What I Learned

• How different data structures impact performance
• How to analyze and compare algorithm efficiency
• How to design programs around data access patterns

Technologies Used

• C++
• Standard Template Library (STL)
• Algorithm analysis and design principles

This repository reflects my understanding of core computer science fundamentals and my ability to apply them in practical scenarios.